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What is Hash-Based Algorithm for Association Rules about?

This paper presents a hash-based algorithm for efficiently mining association rules from large sales transaction databases. The proposed algorithm, DHP, significantly reduces the number of candidate itemsets generated, particularly for large 2-itemsets, thereby improving overall data mining performance by minimizing computational costs in later iterations. Extensive simulations demonstrate that DHP outperforms traditional methods like Apriori, especially in scenarios involving large datasets.

Author

marcocciacarla

Language

EN